Data science : theory and applications Volume 44 [eBook] / edited by Arni S.R. Srinivasa Rao and C.R. Rao.
| Call Number | |
| Title | |
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| Edition | 1st ed. |
| Publication | |
| Contents | 1. Statistical outline of animal home ranges: An application of set estimation--2. Modeling extreme climatic events using the generalized extreme value (GEV) distribution--3. Blockchain technology: Theory and practice--4. Application of data handling techniques to predict pavement performance--5. On the usefulness of lattice approximations for fractional Gaussian fields--6. Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applications--7. Nonparametric data science: Testing hypotheses in large complex data--8. Network models in epidemiology--9. Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook--10. Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemic. |
| Multimedia | |
| Physical Description | 1 online resource (xv, 331 pages) : ill., digital, PDF file(s). |
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$a 1st ed.
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$a Amsterdam, Netherlands : $b North Holland, is an imprint of Elsevier, $c ©2021.
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$a 1 online resource (xv, 331 pages) : $b ill., digital, PDF file(s).
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$a Handbook of statistics ; $v Volume 44.
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$a Includes bibliographical references and index.
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$a 1. Statistical outline of animal home ranges: An application of set estimation--2. Modeling extreme climatic events using the generalized extreme value (GEV) distribution--3. Blockchain technology: Theory and practice--4. Application of data handling techniques to predict pavement performance--5. On the usefulness of lattice approximations for fractional Gaussian fields--6. Estimating individual-level average treatment effects: Challenges, modeling approaches, and practical applications--7. Nonparametric data science: Testing hypotheses in large complex data--8. Network models in epidemiology--9. Modeling and forecasting the spread of COVID-19 pandemic in India and significance of lockdown: A mathematical outlook--10. Mathematical modeling as a tool for policy decision making: Applications to the COVID-19 pandemic.
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$a Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more. Additional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods.
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$a Mathematical statistics.
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$a Data mining.
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$a Statistics.
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$a Rao, Arni S.R. Srinivasa, $e editor.
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$a Rao, C.R., $e editor.
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$i Printed edition: $z 9780323852005
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$a Handbook of statistics ; $v Volume 44.
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$u https://www.sciencedirect.com/handbook/handbook-of-statistics/vol/44/suppl/C $y Click here to view eBook.
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| Subject | |
| Summary | Data Science: Theory and Applications, Volume 44 in the Handbook of Statistics series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of interesting topics, including Modeling extreme climatic events using the generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer Genomics, Blockchain Technology: Theory and Practice, Statistical outline of animal home ranges, an application of set estimation, Application of Data Handling Techniques to Predict Pavement Performance, Analysis of individual treatment effects for enhanced inferences in medicine, and more. Additional sections cover Nonparametric Data Science: Testing Hypotheses in Large Complex Data, From Urban Mobility Problems to Data Science Solutions, and Data Structures and Artificial Intelligence Methods. |